Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators
Апстракт
In the aggregation of uncertain information, it is very important to consider the interrelationship of the input information. Hamy mean (HM) is one of the fine tools to deal with such scenarios. This paper aims to extend the idea of the HM operator and dual HM (DHM) operator in the framework of complex intuitionistic fuzzy sets (CIFSs). The main benefit of using the frame of complex intuitionistic fuzzy CIF information is that it handles two possibilities of the truth degree (TD) and falsity degree (FD) of the uncertain information. We proposed four types of HM operators: CIF Hamy mean (CIFHM), CIF weighted Hamy mean (CIFWHM), CIF dual Hamy mean (CIFDHM), and CIF weighted dual Hamy mean (CIFWDHM) operators. The validity of the proposed HM operators is numerically established. The proposed HM operators are utilized to assess a multiattribute decision-making (MADM) problem where the case study of tourism destination places is discussed. For this purpose, a MADM algorithm involving the pr...oposed HM operators is proposed and applied to the numerical example. The effectiveness and flexibility of the proposed method are also discussed, and the sensitivity of the involved parameters is studied. The conclusive remarks, after a comparative study, show that the results obtained in the frame of CIFSs improve the accuracy of the results by using the proposed HM operators.
Извор:
Computational Intelligence and Neuroscience, 2022, 2022Издавач:
- Hindawi Ltd, London
Финансирање / пројекти:
- Princess Nourah bint Abdulrahman University Researchers Supporting Project, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia [PNURSP2022R192]
- office of Research, Innovation, and Commercialization (ORIC) of Riphah International University Lahore [Riphah-ORIC-21-22/FEAS-20]
DOI: 10.1155/2022/8562390
ISSN: 1687-5265
PubMed: 36262624
WoS: 000876420000021
Scopus: 2-s2.0-85140416690
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Hussain, Abrar AU - Ullah, Kifayat AU - Ahmad, Jihad AU - Karamti, Hanen AU - Pamučar, Dragan AU - Wang, Haolun PY - 2022 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2308 AB - In the aggregation of uncertain information, it is very important to consider the interrelationship of the input information. Hamy mean (HM) is one of the fine tools to deal with such scenarios. This paper aims to extend the idea of the HM operator and dual HM (DHM) operator in the framework of complex intuitionistic fuzzy sets (CIFSs). The main benefit of using the frame of complex intuitionistic fuzzy CIF information is that it handles two possibilities of the truth degree (TD) and falsity degree (FD) of the uncertain information. We proposed four types of HM operators: CIF Hamy mean (CIFHM), CIF weighted Hamy mean (CIFWHM), CIF dual Hamy mean (CIFDHM), and CIF weighted dual Hamy mean (CIFWDHM) operators. The validity of the proposed HM operators is numerically established. The proposed HM operators are utilized to assess a multiattribute decision-making (MADM) problem where the case study of tourism destination places is discussed. For this purpose, a MADM algorithm involving the proposed HM operators is proposed and applied to the numerical example. The effectiveness and flexibility of the proposed method are also discussed, and the sensitivity of the involved parameters is studied. The conclusive remarks, after a comparative study, show that the results obtained in the frame of CIFSs improve the accuracy of the results by using the proposed HM operators. PB - Hindawi Ltd, London T2 - Computational Intelligence and Neuroscience T1 - Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators VL - 2022 DO - 10.1155/2022/8562390 UR - conv_2790 ER -
@article{ author = "Hussain, Abrar and Ullah, Kifayat and Ahmad, Jihad and Karamti, Hanen and Pamučar, Dragan and Wang, Haolun", year = "2022", abstract = "In the aggregation of uncertain information, it is very important to consider the interrelationship of the input information. Hamy mean (HM) is one of the fine tools to deal with such scenarios. This paper aims to extend the idea of the HM operator and dual HM (DHM) operator in the framework of complex intuitionistic fuzzy sets (CIFSs). The main benefit of using the frame of complex intuitionistic fuzzy CIF information is that it handles two possibilities of the truth degree (TD) and falsity degree (FD) of the uncertain information. We proposed four types of HM operators: CIF Hamy mean (CIFHM), CIF weighted Hamy mean (CIFWHM), CIF dual Hamy mean (CIFDHM), and CIF weighted dual Hamy mean (CIFWDHM) operators. The validity of the proposed HM operators is numerically established. The proposed HM operators are utilized to assess a multiattribute decision-making (MADM) problem where the case study of tourism destination places is discussed. For this purpose, a MADM algorithm involving the proposed HM operators is proposed and applied to the numerical example. The effectiveness and flexibility of the proposed method are also discussed, and the sensitivity of the involved parameters is studied. The conclusive remarks, after a comparative study, show that the results obtained in the frame of CIFSs improve the accuracy of the results by using the proposed HM operators.", publisher = "Hindawi Ltd, London", journal = "Computational Intelligence and Neuroscience", title = "Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators", volume = "2022", doi = "10.1155/2022/8562390", url = "conv_2790" }
Hussain, A., Ullah, K., Ahmad, J., Karamti, H., Pamučar, D.,& Wang, H.. (2022). Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators. in Computational Intelligence and Neuroscience Hindawi Ltd, London., 2022. https://doi.org/10.1155/2022/8562390 conv_2790
Hussain A, Ullah K, Ahmad J, Karamti H, Pamučar D, Wang H. Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators. in Computational Intelligence and Neuroscience. 2022;2022. doi:10.1155/2022/8562390 conv_2790 .
Hussain, Abrar, Ullah, Kifayat, Ahmad, Jihad, Karamti, Hanen, Pamučar, Dragan, Wang, Haolun, "Applications of the Multiattribute Decision-Making for the Development of the Tourism Industry Using Complex Intuitionistic Fuzzy Hamy Mean Operators" in Computational Intelligence and Neuroscience, 2022 (2022), https://doi.org/10.1155/2022/8562390 ., conv_2790 .